检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

7,031 篇 会议
73 册 图书
41 篇 期刊文献

馆藏范围

7,145 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,014 篇 工学
- 2,438 篇 计算机科学与技术...
- 1,425 篇 控制科学与工程
- 1,245 篇 电气工程
- 1,233 篇 软件工程
- 1,148 篇 信息与通信工程
- 511 篇 仪器科学与技术
- 493 篇 机械工程
- 352 篇 电子科学与技术（可...
- 274 篇 生物医学工程（可授...
- 235 篇 交通运输工程
- 197 篇 生物工程
- 163 篇 光学工程
- 88 篇 动力工程及工程热...
- 82 篇 安全科学与工程
- 79 篇 化学工程与技术
- 57 篇 力学（可授工学、理...
- 56 篇 土木工程
- 50 篇 石油与天然气工程
1,177 篇 理学
- 541 篇 数学
- 440 篇 物理学
- 221 篇 生物学
- 191 篇 系统科学
- 170 篇 统计学（可授理学、...
- 81 篇 化学
543 篇 管理学
- 435 篇 管理科学与工程(可...
- 140 篇 图书情报与档案管...
- 119 篇 工商管理
352 篇 医学
- 318 篇 临床医学
- 131 篇 基础医学(可授医学...
- 83 篇 药学(可授医学、理...
49 篇 法学
40 篇 经济学
21 篇 农学
14 篇 教育学
10 篇 军事学
4 篇 文学
4 篇 艺术学

主题

824 篇 signal processin...
577 篇 signal processin...
569 篇 robot sensing sy...
330 篇 intelligent robo...
319 篇 control systems
276 篇 mobile robots
249 篇 cameras
225 篇 real-time system...
208 篇 sensor systems
203 篇 neural networks
196 篇 image processing
196 篇 feature extracti...
195 篇 modulation
193 篇 estimation
180 篇 ofdm
171 篇 humans
167 篇 robots
167 篇 field programmab...
153 篇 robot vision sys...
152 篇 clocks

机构

31 篇 university of ch...
18 篇 institutes for r...
14 篇 ieee
13 篇 robotics institu...
13 篇 school of electr...
10 篇 department of in...
9 篇 university of an...
9 篇 university of el...
9 篇 shenyang institu...
9 篇 shanghai enginee...
9 篇 school of intell...
9 篇 school of comput...
8 篇 university of sc...
8 篇 key laboratory o...
8 篇 school of inform...
8 篇 state key labora...
7 篇 singapore univer...
7 篇 guangdong provin...
7 篇 university paris...
7 篇 chitkara centre ...

作者

12 篇 g. hirzinger
12 篇 changshui zhang
10 篇 nakadai kazuhiro
10 篇 joonki paik
9 篇 hanebeck uwe d.
9 篇 qiang huang
9 篇 toshio fukuda
9 篇 kazuhiro nakadai
9 篇 uwe d. hanebeck
9 篇 luo bin
9 篇 fan zhun
8 篇 yang bin
8 篇 janne honkakorpi
8 篇 kurosh madani
8 篇 ming li
8 篇 joaquim filipe
8 篇 wang wei
8 篇 anon
8 篇 minje kim
8 篇 juho vihonen

语言

7,006 篇 英文
103 篇 其他
37 篇 中文
1 篇 土耳其文

检索条件"任意字段=IEEE International Conference on Robotics, Intelligent Systems and Signal Processing"

共 7145 条记录，以下是31-40 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Det-Recon-Reg: An intelligent Framework Towards Automated Large-Scale Infrastructure Inspection

Det-Recon-Reg: An Intelligent Framework Towards Automated La...

引用

2024 international conference on intelligent Robots and systems

作者： Yang, Guidong Zhang, Jihan Zhao, Benyun Gao, Chuanxiang Huang, Yijun Wen, Junjie Li, Qingxiang Tang, Jerry Chen, Xi Chen, Ben M. Chinese Univ Hong Kong CUHK Dept Mech & Automat Engn Hong Kong Peoples R China Univ Calif Berkeley Dept Mech Engn High Performance Robot Lab Berkeley CA 94720 USA

ISBN: (纸本)9798350377712;9798350377705

Visual inspection plays a predominant role in inspecting infrastructure surface. However, the generalization of existing visual inspection systems to large-scale real-world scenes remains challenging. In this paper, we introduce Det-Recon-Reg, an intelligent framework separating the complex inspection procedure into three stages: Detect, Reconstruct, and Register. (1) For defect detection (Detect), we present the first high-resolution defect dataset tailored for large-scale defect detection. Based on the dataset, we evaluate the most effective real-time object detection algorithms and push the boundary by proposing CUBIT-Net for real-world defect inspection. (2) For infrastructure reconstruction (Reconstruct), we propose a learning-based multi-view stereo (MVS) network to adapt to large-scale scenes, taking as input the multi-view images and outputting the point cloud reconstruction, where its performance has been validated on the standard MVS datasets, including BlendedMVS, DTU, and Tanks and Temples datasets. (3) For defect localization (Register), we propose an effective registration method based on the geographic information system that registers the detected defects onto the reconstructed infrastructure model to establish a global reference for maintenance measures. The real-world experiments further verify the effectiveness and efficiency of our proposed framework. More details about our proposed dataset, code, and appendix are available on our project page: https://***/large-scale-inspect-framework/.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

Real-Time Semantic Segmentation for Autonomous Scale Cars using Mixed Real and Synthetic Data 10

Real-Time Semantic Segmentation for Autonomous Scale Cars us...

引用

10th international conference on Mechatronics and robotics Engineering (ICMRE)

作者： Ehrenfeuchter, Steffen Corlito, Roberto Marchthaler, Reiner Enzweiler, Markus Esslingen Univ Appl Sci Inst Intelligent Syst Esslingen Germany

ISBN: (纸本)9798350394283;9798350394276

This paper presents a real-time semantic segmentation framework for camera-based environment perception of objects and infrastructure elements in autonomous scale cars. It is specifically targeted towards student competitions such as the Carolo Cup or the Bosch Future Mobility Challenge. To reduce pixel-wise manual annotation efforts, our framework involves a mixture of both synthetic and real image data, carefully tuned towards the unique requirements of the given scenario. Real images are acquired from a 1:10 scale vehicle equipped with a single monocular camera and are manually annotated. Synthetic image data with automatic pixel-wise annotation is obtained via a custom Unity-based simulation pipeline. We evaluate various mixed real-synthetic data strategies to train different state-of-the-art deep neural networks with a focus on both segmentation performance and real-time capability using an NVIDIA Jetson AGX Xavier platform as in-vehicle test bed. Our experimental results show a significant improvement in semantic segmentation performance of the mixed real-synthetic data approach at real-time speeds of approximately 60 FPS on the target platform.

关键词： Mobile robotics Autonomous systems Robot Intelligence and Learning signal and Image processing

来源：评论

学校读者我要写书评

暂无评论

Robotic Navigation Autonomy for Subretinal Injection via intelligent Real-Time Virtual iOCT Volume Slicing

Robotic Navigation Autonomy for Subretinal Injection via Int...

引用

ieee international conference on robotics and Automation (ICRA)

作者： Dehghani, Shervin Sommersperger, Michael Zhang, Peiyao Martin-Gomez, Alejandro Busam, Benjamin Gehlbach, Peter Navab, Nassir Nasseri, M. Ali Iordachita, Iulian Tech Univ Munich Dept Comp Sci D-85748 Munich Germany Tech Univ Munich Klinikum Rechts Isar Augenklin & Poliklin D-81675 Munich Germany Johns Hopkins Univ Hosp Wilmer Eye Inst Baltimore MD 21287 USA Johns Hopkins Univ Lab Computat Sensing & Robot Baltimore MD 21218 USA Tech Univ Munich Chair Comp Aided Med Procedures & Augmented Real D-85748 Munich Germany Johns Hopkins Univ Whiting Sch Engn Baltimore MD USA

ISBN: (纸本)9798350323658

In the last decade, various robotic platforms have been introduced that could support delicate retinal surgeries. Concurrently, to provide semantic understanding of the surgical area, recent advances have enabled microscope-integrated intraoperative Optical Coherent Tomography (iOCT) with high-resolution 3D imaging at near video rate. The combination of robotics and semantic understanding enables task autonomy in robotic retinal surgery, such as for subretinal injection. This procedure requires precise needle insertion for best treatment outcomes. However, merging robotic systems with iOCT introduces new challenges. These include, but are not limited to high demands on data processing rates and dynamic registration of these systems during the procedure. In this work, we propose a framework for autonomous robotic navigation for subretinal injection, based on intelligent real-time processing of iOCT volumes. Our method consists of an instrument pose estimation method, an online registration between the robotic and the iOCT system, and trajectory planning tailored for navigation to an injection target. We also introduce intelligent virtual B-scans, a volume slicing approach for rapid instrument pose estimation, which is enabled by Convolutional Neural Networks (CNNs). Our experiments on ex-vivo porcine eyes demonstrate the precision and repeatability of the method. Finally, we discuss identified challenges in this work and suggest potential solutions to further the development of such systems.

关键词： Computer Vision for Medical robotics Medical Robots and systems Vision-Based Navigation

来源：评论

学校读者我要写书评

暂无评论

Denoising of Speech signal using Deep Learning

Denoising of Speech Signal using Deep Learning

引用

2024 ieee international conference on intelligent systems and Advanced Applications, ICISAA 2024

作者： Wani, Priyanka Uttarwar, Sudhanshu Mote, Abhijeet Dada Chandan, M.N. Katarwar, Vandana Dr. D. Y. Patil Institute of Technology SPPU Department of Electronics and Telecommunication Pune India Mountain Digital TX United States JSPM's Rajashri Shahu College of Engineering Department of Automation and Robotics Pune India

ISBN: (纸本)9798331539948

Speech is the primary vocalized form of natural speech. Speaking is simple, hands-free, quick, and doesn't require any technological expertise. Speech recognition software makes it easy and comfortable for people to communicate with computers. A speech recognition system enabled this. Speech denoising using deep learning involves using neural networks to eliminate destortion from input signals, preserving the clarity of the speech. For this task, deep learning models such as CNNs or RNNs are commonly used. © 2024 ieee.

关键词： signal denoising

来源：评论

学校读者我要写书评

暂无评论

DRL-Based Orchestration of Multi-User MISO systems with Stacked intelligent Metasurfaces 59

DRL-Based Orchestration of Multi-User MISO Systems with Stac...

引用

59th Annual ieee international conference on Communications (ieee ICC)

作者： Liu, Hao An, Jiancheng Ng, Derrick Wing Kwan Alexandropoulos, George C. Gan, Lu Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia Natl & Kapodistrian Univ Athens Dept Informat & Telecommun Athens 15784 Greece

ISBN: (纸本)9781728190549

Stacked intelligent metasurfaces (SIM) represents an advanced signal processing paradigm that enables over-the-air processing of electromagnetic waves at the speed of light. Its multi-layer structure exhibits customizable increased computational capability compared to conventional single-layer reconfigurable intelligent surfaces and metasurface lenses. In this paper, we deploy SIM to improve the performance of multi-user multiple-input single-output (MISO) wireless systems with low complexity transmit radio frequency (RF) chains. In particular, an optimization formulation for the joint design of the SIM phase shifts and the transmit power allocation is presented, which is efficiently solved via a customized deep reinforcement learning (DRL) approach that continuously observes pre-designed states of the SIM-parametrized smart wireless environment. The presented performance evaluation results showcase the proposed method's capability to effectively learn from the wireless environment while outperforming conventional precoding schemes under low transmit power conditions. Finally, a whitening process is presented to further augment the robustness of the proposed scheme.

关键词： Stacked intelligent metasurface reconfigurable intelligent surface wave-based computing deep reinforcement learning interference cancellation

来源：评论

学校读者我要写书评

暂无评论

Portable robot for needle insertion assistance to femoral artery

Portable robot for needle insertion assistance to femoral ar...

引用

2024 international conference on intelligent Robots and systems

作者： Cheng, Zhuoqi Many, Bence Jorgensen, Kasper Balsby An, Siheon Jensen, Marcus Leander Thulstrup, Richard Frost, Habib Savarimuthu, Thiusius R. Huldt, Olof Univ So Denmark MMMI DK-5230 Odense Denmark Neurescue ApS Copenhagen Denmark Chonnam Natl Univ Sch Mech Engn Gwangju 61186 South Korea

ISBN: (纸本)9798350377712;9798350377705

Femoral artery access is a common and critical procedure for various cardiovascular interventions. Although it is a time critical operation, accessing the Common Femoral Artery (CFA) typically requires expertise found in specialized medical settings. The necessity for specialized personnel or transport to equipped facilities can lead to delays, potentially exacerbating patient outcomes. To address this challenge, a portable and cost-effective robotic device that autonomously localizes a CFA and precisely positions a needle guide is developed. Through the needle guide, needle can be quickly and accurately inserted into the artery even by non-specialist physicians. Different from the conventional B-mode ultrasound guided procedure, the proposed robotic solution utilizes a Doppler transducer for detecting the arterial location and employs a single M-mode transducer for depth measurement. A series of experiments are designed and conducted to validate the system's feasibility, achieving high accuracy within 2 mm, rapid processing within 1.5 min, and a 100% success rate, thus proving the system's efficacy. These results convince us for further refinement of the system and support its evaluation in animal studies.

关键词： Needle insertion robot Robot assisted sensing femoral artery access ultrasound robot signal processing

来源：评论

学校读者我要写书评

暂无评论

Channel Estimation using processing In Memory Based on System Identification Technique 11

Channel Estimation using Processing In Memory Based on Syste...

引用

11th international conference on Wireless Networks and Mobile Communications (WINCOM) - Inclusive and intelligent Connectivity

作者： Mahdavi, Mojtaba Ericsson Ericsson Res Lund Sweden

ISBN: (数字)9798350377866

ISBN: (纸本)9798350377873;9798350377866

Accurate channel estimation is crucial for the design and implementation of effective equalization and beamforming techniques, contributing to the overall performance of wireless communication systems. This paper presents a novel approach for channel estimation based on an unknown system identification technique. The underlying idea is to employ the processing-in-memory (PIM) technique to implement a low-complexity adaptive unknown system identification scheme. To this end, memristive devices are used as key components, which execute essential multiplications and additions in channel estimation with minimal complexity, following Ohm's law and Kirchhoff's current law. The programmability of memristive devices provides the proposed scheme with adaptability to diverse channel conditions.

关键词： System Identification Wireless Channel Estimation processing In Memory (PIM) Digital signal processing (DSP) Wireless Communication systems Memristive Devices

来源：评论

学校读者我要写书评

暂无评论

Skin the sheep not only once: Reusing Various Depth Datasets to Drive the Learning of Optical Flow

Skin the sheep not only once: Reusing Various Depth Datasets...

引用

2024 international conference on intelligent Robots and systems

作者： Huang, Sheng-Chi Chiu, Wei-Chen Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan

ISBN: (纸本)9798350377712;9798350377705

Optical flow estimation is crucial for various applications in vision and robotics. As the difficulty of collecting ground truth optical flow in real-world scenarios, most of the existing methods of learning optical flow still adopt synthetic dataset for supervised training or utilize photometric consistency across temporally adjacent video frames to drive the unsupervised learning, where the former typically has issues of generalizability while the latter usually performs worse than the supervised ones. To tackle such challenges, we propose to leverage the geometric connection between optical flow estimation and stereo matching (based on the similarity upon finding pixel correspondences across images) to unify various real-world depth estimation datasets for generating supervised training data upon optical flow. Specifically, we turn the monocular depth datasets into stereo ones via synthesizing virtual disparity, thus leading to the flows along the horizontal direction;moreover, we introduce virtual camera motion into stereo data to produce additional flows along the vertical direction. Furthermore, we propose applying geometric augmentations on one image of an optical flow pair, encouraging the optical flow estimator to learn from more challenging cases. Lastly, as the optical flow maps under different geometric augmentations actually exhibit distinct characteristics, an auxiliary classifier which trains to identify the type of augmentation from the appearance of the flow map is utilized to further enhance the learning of the optical flow estimator. Our proposed method is general and is not tied to any particular flow estimator, where extensive experiments based on various datasets and optical flow estimation models verify its efficacy and superiority.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

Analog Features Extractor for Ultra-Low Power Embedded AI Listening and Keyword Spotting 6

Analog Features Extractor for Ultra-Low Power Embedded AI Li...

引用

6th international conference on AI Circuits and systems (AICAS)

作者： Marzetti, Sebastian Gies, Valentin Barchasz, Valentin Barthelemy, Herve Glotin, Herve Aix Marseille Univ Univ Toulon IM2NP CNRSUMR 7334 Marseille France Aix Marseille Univ Univ Toulon CNRS LISDYNI Marseille France Univ Toulon & Var Ctr Intelligence Artificielle Acoust Nat Toulon France

ISBN: (纸本)9798350383638;9798350383645

In this paper, a novel ultra-low power audio system is designed and tested on keyword spotting (KWS). It implements mixed (analog-digital) processing and allows always-on detection with an average power consumption of < 77 mu W, detecting one word every 30 seconds. Combining mixed signal processing, it achieves 88% classification accuracy between 8 classes. It is based on an always-on Analog Features Extractor (AFE), which provides spectral information, and main processor wakes-up only when necessary for minimal power consumption. Then, this information is sampled by a low frequency ADC to compose a spectrogram processed with a Convolutional Neural Network (CNN) for classification. It can be used for long term environmental monitoring or intelligent Internet of Things (IoT) using small batteries such as a single CR2032 coin cell to reach up to 1 year of autonomy.

关键词： Ultra Low-Power Keyword Spotting signal processing Embedded System Mixed signal processing Analog Digital Embedded Artificial Intelligence Machine Learning Voice Detection Long Term Monitoring Soundscape Monitoring

来源：评论

学校读者我要写书评

暂无评论

A Multi-Sensor Approach for Multi-Joint Tracking

A Multi-Sensor Approach for Multi-Joint Tracking

引用

ieee international Instrumentation and Measurement Technology conference (I2MTC)

作者： Ando, Bruno Graziani, Salvatore Manenti, Mattia Greco, Danilo Univ Catania DIEEI Catania Italy

ISBN: (纸本)9798350380903;9798350380910

This paper deals with the development of a low-cost multi-sensor and multi-node system aimed to reconstruct the orientation of a multi-joint model compatible with several application fields, such as robotics, human rehabilitation or monitoring systems. As an example, human kinetic parameters can be harnessed to prevent and diagnose diseases, enhance physical performance, and expedite rehabilitation. The approach adopted exploits features of an embedded multi-sensor system and signal processing aimed at the extraction of quantities of interest for the reconstruction of the model pose. In particular, the main contribution of this work is a dedicated signal processing implemented to reconstruct time series of joint angles and to provide a real-time 3D representation of the model. The assessment phase, consisting of a series of angles configurations imposed to the model, proved that mean and standard deviation of the residuals (as the absolute value of the difference between nominal and reconstructed values) are, in the worst case, 1.23 degrees and 0.98 degrees respectively, proving the capability of the algorithm to appropriately reconstruct the pose of the structure in real time.

关键词： multi-joint model orientation tracking embedded system signal processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 1 2 3 4 5 6 7 8 9 10 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：